A deep learning model developed by聽a team聽led by Yifeng Zhu, chair and professor of electrical and computer engineering, has been featured by the National Cancer Institute鈥檚 Center for Biomedical Informatics and Information Technology in the article, 鈥溾.聽The team includes聽Jeremy Juybari, Josh Hamilton, Chaofan Chen, Andre Khalil, and Yifeng Zhu.
The model, called CGS-Net, or Context Guided Segmentation Network, improves medical image analysis by mimicking how pathologists switch between wide and detailed views under a microscope. This innovative approach significantly enhances cancer detection accuracy and holds promise for improving diagnostic speed and precision, particularly in underserved areas.
Learn more about the research, here.
Contact: Taylor Ward, taylor.ward@maine.edu
